PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-09-12 10:24:26.524232+00:00 (UTC)
In US/Central Time, this is 2024-09-12 05:24:26.524232-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/e2318a14ba6b29c0bd64be119f21ab81391a495e0af829e520eed784fdc2c1ec.png
We are just generating a random time serie here.
../_images/86f5cd66710fd098f6d9f2b86bb1a1aff29beec56d3748a3998f39f56d4cf910.png
../_images/7980b47e362de474645e6e8859f862c5010ed5083130abeb1097f9eb00358073.png